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What this guide covers:

• Text Formatting
• Organizational Text Formatting
  • Headers
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A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

JavaScript ဟာ Dynamic Type Language တစ်ခုပါ။ Data Type တွေကို Language က လိုသလို အလိုအလျှောက် ပြောင်းလဲအလုပ်လုပ်ပေးတဲ့အတွက် ရေးသားသူက Type ကိစ္စ သိပ်ခေါင်းစားနေစရာမလိုဘဲ ရေးစရာရှိတဲ့ကုဒ်တွေကို ခပ်မြန်မြန် ရေးသွားလို့ရပါတယ်။

let value;        // undefined
value = "Alice";  // string
value = 42;       // number
value = true;     // boolean

GOAL: Keep secrets out of plaintext (esp when syncing dockerfile and docker-compose.yaml to repo)

1. Each secret needs to be a single text file with a clear name
2. Edit docker-entrypoint.sh to run per environmental variable
3. (Re)Build docker image with docker-entrypoint.sh as entrypoint
4. Create secrets in docker-compose
5. Call secrets with "_FILE" appended to the name when specifying environmental variable

Quick reference for picking a provider/CLI on day 1. All numbers verified early-mid 2026 — confirm live before you depend on them. Pricing and quotas change frequently (especially Chinese providers and free-tier limits).

1. Instalar Node Sitio oficial de node

These findings / suggestions were created using Codex (GPT-5.5). It had full view of the fossil sources when creating this.

During creation, the links were all repo-local. They should now point to the official docs at fossil-scm.org, but I didn't check all of them, so I can't guarantee that all of them work.